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Search results for paper network embedding
network-embedding
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17 search results found
Awesome Network Embedding
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2,218
A curated list of network embedding techniques.
Awesome Deep Community Detection
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397
Deep and conventional community detection related papers, implementations, datasets, and tools.
Representation Learning On Heterogeneous Graph
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178
Representation-Learning-on-Heterogeneous-Graph
Bionev
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111
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Pytorch Agnn
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94
Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
Conmask
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77
ConMask model described in paper Open-world Knowledge Graph Completion.
Ctgcn
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72
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
Mne
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53
Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"
Rhine
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44
Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"
Feather
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39
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Mmdne
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26
Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
Apne
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22
Code of the paper "Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective"
Dhne
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22
the Implementation of "Structural Deep Embedding for Hyper-Networks"(AAA20I8)
Resolutions 2019
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16
A list of data mining and machine learning papers that I implemented in 2019.
Idne
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13
Python package for the paper "Inductive Document Network Embedding with Topic-Word Attention" (https://arxiv.org/pdf/2001.03369.pdf)
Cikm18 Lcva
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12
Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
Extended Simgnn
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11
A PyTorch Geometric implementation of SimGNN with some extensions.
Gvnr
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5
Python package for the paper "Global Vectors for Node Representation" (https://arxiv.org/pdf/1902.11004.pdf)
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